We are in an era of heavy learning when it comes to delivering successful AI implementations across our organizations. In fact, the best AI use cases and outcomes are around the corner and still to come. However, there are significant takeaways from first projects all around us that can guide, accelerate, and improve our own journeys. There are also key differences and considerations in how IT teams deploy AI projects and technologies. Attend this session to learn the four key data-centric must haves to increase AI initiative success based on current Quest and Sparkle client experiences from around the world and use them as a catalyst to effectively trailblaze your own efforts.
talk-data.com
Speaker
Simon De Lamonica
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Hello! My name is Simon! My main expertise lies within the domain of AI, data science and engineering. I work for the data consultancy company Sparkle in Belgium. With a strong passion for the data world, I’ve had the privilege of working with clients across various domains, including marketing, automotive, legal and so on. As a person, I like to invest my time in designing data solutions that deliver actual business value. At this event, I’m excited to share my experiences in AI and data science, particularly in relation to various data governance challenges. Hoping to see you all there?
Bio from: Big Data LDN 2024
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